The organisation, after Musk took over, became a cesspit of far-right extremism, in which anything the far-right "disagreed" with (such as facts and other inconveniences) were censored.

The EFF has, by this announcement, basically said that censorship did not bother them at all, that extremism did not bother them at all, that death threats against the left didn't bother them, that the only thing they were bothered by was the fact that the intellectuals had all left.

That does not give me overwhelming confidence in the EFF as being concerned with freedom.

Which it was.

Just a couple weeks ago, I replaced the battery in my 6-year-old Lemur Pro. Not very hard, and now it's great at holding a charge again.

Yes, getting this thing in 2020 cost me 2-3 times as much as today's new Macbook Neo, but I needed a machine I could rely on, that wasn't designed as though I'm the manufacturer's adversary.

Could the point of the brag be that it's newer hardware? My understanding is that successive generations of earthling chips are more vulnerable to malfunction from cosmic rays, etc due to their much higher density.

But I've totally not kept up. Is this still a problem?

Since pertinent information was withheld (that it didn't know), then by your own post you acknowledge it was a lie of omission.

The stupidity of people these days is truly beyond belief. And, yes, get the f off my lawn.

We learned back in the 80s that trying to get a neural net to emphasise what you want is actually very difficult. What it will tend to emphasise are the assumptions that underly the test data, and that's usually a completely different sort of fiction.

Installing more than one modern AAA title.

But was that figure provided by AI?

Even if not, we all know that 793% of all statistics are invented.

If something is inaccurately presented as being the truth, then it is a lie of omission because it is dishonest about the fact that the information isn't actually known.

Gemini is exceptionally bad, as LLMs go. I really have no idea why it is so dreadful, even compared to other LLMs. It isn't context window. and it doesn't seem to be training material either.

Cyber Implications have been noted. Mondas security is to be Cyber Vibed until we have Cyber Security capable of defeating The Doctor.

When I test the different AI systems, Google's AI system loses track of complex problems incredibly quickly. It's great on simple stuff, but for complex stuff, it's useless.

Unfortunately.... advice, overviews, etc, are very very complex problems indeed, which means that you're hitting the weakspot of their system.

I've designed a few machines - some rather more insane than others - in meticulous detail using AI. What I have not done, so far, is get an engineer to review the designs to see if any of them can be turned into something that would be usable. My suspicion is that a few might be made workable, but that has to be verified.

Having said that, producing the design probably took a significant amount of compute power and a significant amount of water. If I'd fermented that same quantity of water and provided wine to an engineering team that cost the same as the computing resources consumed, I'd probably have better designs.But, that too, is unverified. As before, it's perfectly verifiable, it just hasn't been so far.

If an engineer looks at the design and dies laughing, then I'm probably liable for funeral costs but at least there would be absolutely no question as to how good AI is at challenging engineering concepts. On the other hand, if they pause and say that there's actually a neat idea in a few of the concepts, then it becomes a question of how much of that was ideas I put in and how much is stuff the AI actually put together. Again, though, we'd have a metric.

That, to me, is the crux. It's all fine and well arguing over whether AI is any good or not (and, tbh, I would say that my feeling is that you're absolutely right), but this should be definitively measured and quantified, not assumed. There may be far better benchmarks than the designs I have - I'm good but I'm not one of the greats, so the odds of someone coming up with better measures seems high. But we're not seeing those, we're just seeing toy tests by journalists and that's not a good measure of real-world usability.

If no such benchmark values actually appear, then I think it's fair to argue that it's because nobody believes any AI out there is going to do well at them.

(I can tell you now, Gemini won't. Gemini is next to useless -- but on the Other Side.)

This means you shoud NOT, under any circumstance, run Claude at 88mph. Unless you really want to.

The outage may have been caused by an overload in the filtering systems run by Russia’s communications watchdog

Overload? It's probably an overly-excited inference, but that sounds like a basket with too many eggs in it. Anyone know?

"Ukraine, if you're listening..."